Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 338592 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 328980 |
| Duplicate rows (%) | 97.2% |
| Total size in memory | 51.7 MiB |
| Average record size in memory | 160.0 B |
Variable types
| Categorical | 8 |
|---|---|
| Numeric | 12 |
| Dataset has 328980 (97.2%) duplicate rows | Duplicates |
Jyotai11Chakukaisu6 has 329843 (97.4%) zeros | Zeros |
Kyori1Chakukaisu1 has 270618 (79.9%) zeros | Zeros |
Kyori1Chakukaisu2 has 274489 (81.1%) zeros | Zeros |
Kyori1Chakukaisu3 has 269400 (79.6%) zeros | Zeros |
Kyori1Chakukaisu4 has 268465 (79.3%) zeros | Zeros |
Kyori1Chakukaisu5 has 266290 (78.6%) zeros | Zeros |
Kyori1Chakukaisu6 has 123166 (36.4%) zeros | Zeros |
Kyori2Chakukaisu1 has 282190 (83.3%) zeros | Zeros |
Kyori2Chakukaisu2 has 285898 (84.4%) zeros | Zeros |
Kyori2Chakukaisu3 has 282762 (83.5%) zeros | Zeros |
Kyori2Chakukaisu4 has 280426 (82.8%) zeros | Zeros |
Kyori2Chakukaisu5 has 279296 (82.5%) zeros | Zeros |
Reproduction
| Analysis started | 2021-04-07 13:25:45.606193 |
|---|---|
| Analysis finished | 2021-04-07 13:27:13.818307 |
| Duration | 1 minute and 28.21 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
Jyotai11Chakukaisu4
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1687 |
| 2 | 68 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 336837 | |
| 1 | 1687 | 0.5% |
| 2 | 68 | < 0.1% |
Jyotai11Chakukaisu5
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1651 |
| 2 | 25 |
| 3 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 336914 | |
| 1 | 1651 | 0.5% |
| 2 | 25 | < 0.1% |
| 3 | 2 | < 0.1% |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.03260856724 |
|---|---|
| Minimum | 0 |
| Maximum | 5 |
| Zeros | 329843 |
| Zeros (%) | 97.4% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2230872409 |
|---|---|
| Coefficient of variation (CV) | 6.841368996 |
| Kurtosis | 103.1163769 |
| Mean | 0.03260856724 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 8.964321436 |
| Sum | 11041 |
| Variance | 0.04976791707 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 329843 | |
| 1 | 7084 | 2.1% |
| 2 | 1195 | 0.4% |
| 3 | 322 | 0.1% |
| 4 | 139 | < 0.1% |
| 5 | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 329843 | |
| 1 | 7084 | 2.1% |
| 2 | 1195 | 0.4% |
| 3 | 322 | 0.1% |
| 4 | 139 | < 0.1% |
| Value | Count | Frequency (%) |
| 5 | 9 | < 0.1% |
| 4 | 139 | < 0.1% |
| 3 | 322 | 0.1% |
| 2 | 1195 | 0.4% |
| 1 | 7084 |
Jyotai12Chakukaisu1
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 895 |
| 3 | 6 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337691 | |
| 1 | 895 | 0.3% |
| 3 | 6 | < 0.1% |
Jyotai12Chakukaisu2
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 998 |
| 2 | 31 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337563 | |
| 1 | 998 | 0.3% |
| 2 | 31 | < 0.1% |
Jyotai12Chakukaisu3
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 980 |
| 3 | 37 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337575 | |
| 1 | 980 | 0.3% |
| 3 | 37 | < 0.1% |
Jyotai12Chakukaisu4
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 814 |
| 2 | 23 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337755 | |
| 1 | 814 | 0.2% |
| 2 | 23 | < 0.1% |
Jyotai12Chakukaisu5
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 881 |
| 2 | 32 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337679 | |
| 1 | 881 | 0.3% |
| 2 | 32 | < 0.1% |
Jyotai12Chakukaisu6
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 4243 |
| 2 | 458 |
| 3 | 114 |
| 5 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 333776 | |
| 1 | 4243 | 1.3% |
| 2 | 458 | 0.1% |
| 3 | 114 | < 0.1% |
| 5 | 1 | < 0.1% |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4244341272 |
|---|---|
| Minimum | 0 |
| Maximum | 12 |
| Zeros | 270618 |
| Zeros (%) | 79.9% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 3 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.071378848 |
|---|---|
| Coefficient of variation (CV) | 2.524252361 |
| Kurtosis | 12.959152 |
| Mean | 0.4244341272 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.322648517 |
| Sum | 143710 |
| Variance | 1.147852635 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 270618 | |
| 1 | 32878 | 9.7% |
| 2 | 14989 | 4.4% |
| 3 | 8993 | 2.7% |
| 4 | 5844 | 1.7% |
| 5 | 2695 | 0.8% |
| 6 | 1573 | 0.5% |
| 7 | 649 | 0.2% |
| 8 | 219 | 0.1% |
| 9 | 83 | < 0.1% |
| Other values (3) | 51 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 270618 | |
| 1 | 32878 | 9.7% |
| 2 | 14989 | 4.4% |
| 3 | 8993 | 2.7% |
| 4 | 5844 | 1.7% |
| Value | Count | Frequency (%) |
| 12 | 8 | < 0.1% |
| 11 | 18 | < 0.1% |
| 10 | 25 | < 0.1% |
| 9 | 83 | < 0.1% |
| 8 | 219 |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.4099890133 |
|---|---|
| Minimum | 0 |
| Maximum | 15 |
| Zeros | 274489 |
| Zeros (%) | 81.1% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 3 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.110328238 |
|---|---|
| Coefficient of variation (CV) | 2.708190225 |
| Kurtosis | 19.89095999 |
| Mean | 0.4099890133 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.91709421 |
| Sum | 138819 |
| Variance | 1.232828797 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 274489 | |
| 1 | 31143 | 9.2% |
| 2 | 15120 | 4.5% |
| 3 | 7170 | 2.1% |
| 4 | 4394 | 1.3% |
| 5 | 2794 | 0.8% |
| 6 | 1631 | 0.5% |
| 7 | 1161 | 0.3% |
| 9 | 238 | 0.1% |
| 8 | 214 | 0.1% |
| Other values (3) | 238 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 274489 | |
| 1 | 31143 | 9.2% |
| 2 | 15120 | 4.5% |
| 3 | 7170 | 2.1% |
| 4 | 4394 | 1.3% |
| Value | Count | Frequency (%) |
| 15 | 38 | < 0.1% |
| 11 | 43 | < 0.1% |
| 10 | 157 | |
| 9 | 238 | |
| 8 | 214 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3977235138 |
|---|---|
| Minimum | 0 |
| Maximum | 11 |
| Zeros | 269400 |
| Zeros (%) | 79.6% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.006800985 |
|---|---|
| Coefficient of variation (CV) | 2.531409257 |
| Kurtosis | 16.60083256 |
| Mean | 0.3977235138 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.604890406 |
| Sum | 134666 |
| Variance | 1.013648222 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 269400 | |
| 1 | 37085 | 11.0% |
| 2 | 15590 | 4.6% |
| 3 | 7728 | 2.3% |
| 4 | 4680 | 1.4% |
| 5 | 2099 | 0.6% |
| 6 | 951 | 0.3% |
| 7 | 545 | 0.2% |
| 8 | 276 | 0.1% |
| 9 | 131 | < 0.1% |
| Other values (2) | 107 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 269400 | |
| 1 | 37085 | 11.0% |
| 2 | 15590 | 4.6% |
| 3 | 7728 | 2.3% |
| 4 | 4680 | 1.4% |
| Value | Count | Frequency (%) |
| 11 | 24 | < 0.1% |
| 10 | 83 | < 0.1% |
| 9 | 131 | < 0.1% |
| 8 | 276 | |
| 7 | 545 |
| Distinct | 13 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3804224553 |
|---|---|
| Minimum | 0 |
| Maximum | 12 |
| Zeros | 268465 |
| Zeros (%) | 79.3% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.9488928606 |
|---|---|
| Coefficient of variation (CV) | 2.494313486 |
| Kurtosis | 18.6355804 |
| Mean | 0.3804224553 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.671280079 |
| Sum | 128808 |
| Variance | 0.9003976608 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 0 | 268465 | |
| 1 | 39524 | 11.7% |
| 2 | 16038 | 4.7% |
| 3 | 7347 | 2.2% |
| 4 | 3852 | 1.1% |
| 5 | 1798 | 0.5% |
| 6 | 986 | 0.3% |
| 7 | 257 | 0.1% |
| 8 | 133 | < 0.1% |
| 9 | 63 | < 0.1% |
| Other values (3) | 129 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 268465 | |
| 1 | 39524 | 11.7% |
| 2 | 16038 | 4.7% |
| 3 | 7347 | 2.2% |
| 4 | 3852 | 1.1% |
| Value | Count | Frequency (%) |
| 12 | 45 | < 0.1% |
| 11 | 43 | < 0.1% |
| 10 | 41 | < 0.1% |
| 9 | 63 | |
| 8 | 133 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3691552074 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 266290 |
| Zeros (%) | 78.6% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8966308578 |
|---|---|
| Coefficient of variation (CV) | 2.4288723 |
| Kurtosis | 16.55634975 |
| Mean | 0.3691552074 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.535117855 |
| Sum | 124993 |
| Variance | 0.8039468951 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 266290 | |
| 1 | 43621 | 12.9% |
| 2 | 15510 | 4.6% |
| 3 | 7560 | 2.2% |
| 4 | 2659 | 0.8% |
| 5 | 1720 | 0.5% |
| 6 | 647 | 0.2% |
| 7 | 258 | 0.1% |
| 8 | 195 | 0.1% |
| 9 | 132 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 266290 | |
| 1 | 43621 | 12.9% |
| 2 | 15510 | 4.6% |
| 3 | 7560 | 2.2% |
| 4 | 2659 | 0.8% |
| Value | Count | Frequency (%) |
| 9 | 132 | < 0.1% |
| 8 | 195 | 0.1% |
| 7 | 258 | 0.1% |
| 6 | 647 | 0.2% |
| 5 | 1720 |
| Distinct | 46 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.863933584 |
|---|---|
| Minimum | 0 |
| Maximum | 49 |
| Zeros | 123166 |
| Zeros (%) | 36.4% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 13 |
| Maximum | 49 |
| Range | 49 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 4.749663251 |
|---|---|
| Coefficient of variation (CV) | 1.658440432 |
| Kurtosis | 12.99246207 |
| Mean | 2.863933584 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.121658865 |
| Sum | 969705 |
| Variance | 22.559301 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 0 | 123166 | |
| 1 | 69793 | |
| 2 | 41438 | 12.2% |
| 3 | 23954 | 7.1% |
| 4 | 15640 | 4.6% |
| 5 | 10708 | 3.2% |
| 6 | 9059 | 2.7% |
| 7 | 6780 | 2.0% |
| 8 | 6189 | 1.8% |
| 9 | 4415 | 1.3% |
| Other values (36) | 27450 | 8.1% |
| Value | Count | Frequency (%) |
| 0 | 123166 | |
| 1 | 69793 | |
| 2 | 41438 | 12.2% |
| 3 | 23954 | 7.1% |
| 4 | 15640 | 4.6% |
| Value | Count | Frequency (%) |
| 49 | 4 | < 0.1% |
| 47 | 11 | < 0.1% |
| 46 | 25 | |
| 44 | 28 | |
| 42 | 46 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3380558312 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 282190 |
| Zeros (%) | 83.3% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.9235959678 |
|---|---|
| Coefficient of variation (CV) | 2.732081161 |
| Kurtosis | 14.10504725 |
| Mean | 0.3380558312 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.47914112 |
| Sum | 114463 |
| Variance | 0.8530295117 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 282190 | |
| 1 | 26934 | 8.0% |
| 2 | 13148 | 3.9% |
| 3 | 8879 | 2.6% |
| 4 | 4424 | 1.3% |
| 5 | 1836 | 0.5% |
| 6 | 791 | 0.2% |
| 7 | 224 | 0.1% |
| 8 | 88 | < 0.1% |
| 9 | 78 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 282190 | |
| 1 | 26934 | 8.0% |
| 2 | 13148 | 3.9% |
| 3 | 8879 | 2.6% |
| 4 | 4424 | 1.3% |
| Value | Count | Frequency (%) |
| 9 | 78 | < 0.1% |
| 8 | 88 | < 0.1% |
| 7 | 224 | 0.1% |
| 6 | 791 | |
| 5 | 1836 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3305689443 |
|---|---|
| Minimum | 0 |
| Maximum | 11 |
| Zeros | 285898 |
| Zeros (%) | 84.4% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.9684944275 |
|---|---|
| Coefficient of variation (CV) | 2.929780441 |
| Kurtosis | 19.90261886 |
| Mean | 0.3305689443 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.005928039 |
| Sum | 111928 |
| Variance | 0.9379814561 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 0 | 285898 | |
| 1 | 24776 | 7.3% |
| 2 | 12629 | 3.7% |
| 3 | 7107 | 2.1% |
| 4 | 4085 | 1.2% |
| 5 | 2113 | 0.6% |
| 6 | 1037 | 0.3% |
| 7 | 515 | 0.2% |
| 8 | 220 | 0.1% |
| 10 | 127 | < 0.1% |
| Other values (2) | 85 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 285898 | |
| 1 | 24776 | 7.3% |
| 2 | 12629 | 3.7% |
| 3 | 7107 | 2.1% |
| 4 | 4085 | 1.2% |
| Value | Count | Frequency (%) |
| 11 | 23 | < 0.1% |
| 10 | 127 | < 0.1% |
| 9 | 62 | < 0.1% |
| 8 | 220 | |
| 7 | 515 |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.31704234 |
|---|---|
| Minimum | 0 |
| Maximum | 10 |
| Zeros | 282762 |
| Zeros (%) | 83.5% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8862892246 |
|---|---|
| Coefficient of variation (CV) | 2.795491683 |
| Kurtosis | 16.86552508 |
| Mean | 0.31704234 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.742892054 |
| Sum | 107348 |
| Variance | 0.7855085897 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 282762 | |
| 1 | 29431 | 8.7% |
| 2 | 13004 | 3.8% |
| 3 | 6713 | 2.0% |
| 4 | 3555 | 1.0% |
| 5 | 1929 | 0.6% |
| 6 | 687 | 0.2% |
| 7 | 370 | 0.1% |
| 8 | 96 | < 0.1% |
| 9 | 25 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 282762 | |
| 1 | 29431 | 8.7% |
| 2 | 13004 | 3.8% |
| 3 | 6713 | 2.0% |
| 4 | 3555 | 1.0% |
| Value | Count | Frequency (%) |
| 10 | 20 | < 0.1% |
| 9 | 25 | < 0.1% |
| 8 | 96 | < 0.1% |
| 7 | 370 | |
| 6 | 687 |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3119299924 |
|---|---|
| Minimum | 0 |
| Maximum | 11 |
| Zeros | 280426 |
| Zeros (%) | 82.8% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8511907693 |
|---|---|
| Coefficient of variation (CV) | 2.728787837 |
| Kurtosis | 17.69102222 |
| Mean | 0.3119299924 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.747820142 |
| Sum | 105617 |
| Variance | 0.7245257257 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 280426 | |
| 1 | 32937 | 9.7% |
| 2 | 12966 | 3.8% |
| 3 | 6396 | 1.9% |
| 4 | 3370 | 1.0% |
| 5 | 1506 | 0.4% |
| 6 | 620 | 0.2% |
| 7 | 233 | 0.1% |
| 8 | 91 | < 0.1% |
| 11 | 24 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 280426 | |
| 1 | 32937 | 9.7% |
| 2 | 12966 | 3.8% |
| 3 | 6396 | 1.9% |
| 4 | 3370 | 1.0% |
| Value | Count | Frequency (%) |
| 11 | 24 | < 0.1% |
| 9 | 23 | < 0.1% |
| 8 | 91 | < 0.1% |
| 7 | 233 | 0.1% |
| 6 | 620 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3001045506 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 279296 |
| Zeros (%) | 82.5% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8088997821 |
|---|---|
| Coefficient of variation (CV) | 2.695393257 |
| Kurtosis | 18.94929915 |
| Mean | 0.3001045506 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.82847171 |
| Sum | 101613 |
| Variance | 0.6543188576 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 279296 | |
| 1 | 35416 | 10.5% |
| 2 | 13756 | 4.1% |
| 3 | 5556 | 1.6% |
| 4 | 2363 | 0.7% |
| 5 | 1351 | 0.4% |
| 7 | 406 | 0.1% |
| 6 | 320 | 0.1% |
| 8 | 104 | < 0.1% |
| 9 | 24 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 279296 | |
| 1 | 35416 | 10.5% |
| 2 | 13756 | 4.1% |
| 3 | 5556 | 1.6% |
| 4 | 2363 | 0.7% |
| Value | Count | Frequency (%) |
| 9 | 24 | < 0.1% |
| 8 | 104 | < 0.1% |
| 7 | 406 | 0.1% |
| 6 | 320 | 0.1% |
| 5 | 1351 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Jyotai11Chakukaisu4 | Jyotai11Chakukaisu5 | Jyotai11Chakukaisu6 | Jyotai12Chakukaisu1 | Jyotai12Chakukaisu2 | Jyotai12Chakukaisu3 | Jyotai12Chakukaisu4 | Jyotai12Chakukaisu5 | Jyotai12Chakukaisu6 | Kyori1Chakukaisu1 | Kyori1Chakukaisu2 | Kyori1Chakukaisu3 | Kyori1Chakukaisu4 | Kyori1Chakukaisu5 | Kyori1Chakukaisu6 | Kyori2Chakukaisu1 | Kyori2Chakukaisu2 | Kyori2Chakukaisu3 | Kyori2Chakukaisu4 | Kyori2Chakukaisu5 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 0 | 0 |
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 0 | 0 |
| 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 3 | 7 | 0 | 0 | 0 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
| 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 |
Last rows
| Jyotai11Chakukaisu4 | Jyotai11Chakukaisu5 | Jyotai11Chakukaisu6 | Jyotai12Chakukaisu1 | Jyotai12Chakukaisu2 | Jyotai12Chakukaisu3 | Jyotai12Chakukaisu4 | Jyotai12Chakukaisu5 | Jyotai12Chakukaisu6 | Kyori1Chakukaisu1 | Kyori1Chakukaisu2 | Kyori1Chakukaisu3 | Kyori1Chakukaisu4 | Kyori1Chakukaisu5 | Kyori1Chakukaisu6 | Kyori2Chakukaisu1 | Kyori2Chakukaisu2 | Kyori2Chakukaisu3 | Kyori2Chakukaisu4 | Kyori2Chakukaisu5 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 338582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 338584 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| 338585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 338588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 3 | 3 | 0 |
| 338589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 |
| 338590 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 338591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Most frequent
| Jyotai11Chakukaisu4 | Jyotai11Chakukaisu5 | Jyotai11Chakukaisu6 | Jyotai12Chakukaisu1 | Jyotai12Chakukaisu2 | Jyotai12Chakukaisu3 | Jyotai12Chakukaisu4 | Jyotai12Chakukaisu5 | Jyotai12Chakukaisu6 | Kyori1Chakukaisu1 | Kyori1Chakukaisu2 | Kyori1Chakukaisu3 | Kyori1Chakukaisu4 | Kyori1Chakukaisu5 | Kyori1Chakukaisu6 | Kyori2Chakukaisu1 | Kyori2Chakukaisu2 | Kyori2Chakukaisu3 | Kyori2Chakukaisu4 | Kyori2Chakukaisu5 | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77425 |
| 767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 40202 |
| 1104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 19084 |
| 1289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8468 |
| 1377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3507 |
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2926 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2113 |
| 1586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2059 |
| 1423 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 1712 |
| 1876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1574 |